CN107134939B - A kind of three level grid-connected inverter dual models prediction direct Power Control method - Google Patents
A kind of three level grid-connected inverter dual models prediction direct Power Control method Download PDFInfo
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- CN107134939B CN107134939B CN201710406440.0A CN201710406440A CN107134939B CN 107134939 B CN107134939 B CN 107134939B CN 201710406440 A CN201710406440 A CN 201710406440A CN 107134939 B CN107134939 B CN 107134939B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M7/00—Conversion of ac power input into dc power output; Conversion of dc power input into ac power output
- H02M7/42—Conversion of dc power input into ac power output without possibility of reversal
- H02M7/44—Conversion of dc power input into ac power output without possibility of reversal by static converters
- H02M7/48—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode
- H02M7/483—Converters with outputs that each can have more than two voltages levels
- H02M7/487—Neutral point clamped inverters
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M7/00—Conversion of ac power input into dc power output; Conversion of dc power input into ac power output
- H02M7/42—Conversion of dc power input into ac power output without possibility of reversal
- H02M7/44—Conversion of dc power input into ac power output without possibility of reversal by static converters
- H02M7/48—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode
- H02M7/53—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal
- H02M7/537—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters
- H02M7/5387—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters in a bridge configuration
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M7/00—Conversion of ac power input into dc power output; Conversion of dc power input into ac power output
- H02M7/42—Conversion of dc power input into ac power output without possibility of reversal
- H02M7/44—Conversion of dc power input into ac power output without possibility of reversal by static converters
- H02M7/48—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode
- H02M7/53—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal
- H02M7/537—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters
- H02M7/539—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters with automatic control of output wave form or frequency
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Inverter Devices (AREA)
Abstract
The invention discloses a kind of three level grid-connected inverter dual models to predict direct Power Control method, proposes dual model prediction direct Power Control to adjust the instantaneous active and reactive power of gird-connected inverter, and balance mid-point voltage.Dual model prediction direct Power Control is divided into two steps, establish two Direct Power prediction models, first acquire the sector where optimized switching state, then optimized switching state is being found out in a sector, finally controlled using each switching device of the optimized switching state of three level grid-connected inverters to three-level inverter.The present invention can reduce the operand of algorithm, save computing resource, reduce control algolithm bring delay time, and the gird-connected inverter performance of this method control is good.
Description
Technical field
The present invention relates to parallel network reverse technical field, in particular to a kind of three level grid-connected inverter dual models prediction is direct
Poewr control method.
Background technique
With getting worse for environmental pollution and energy crisis, the distributed hair of the renewable energy such as solar energy, wind energy is utilized
Power technology is by more and more extensive concern.And gird-connected inverter is the interface of distributed generation system and power grid, and it is traditional
Two-level inverter is compared, and three-level inverter harmonic content is low, and switching loss is small, and power quality and efficiency will be much higher.
Model Predictive Control is a kind of novel predictive control strategy, which, which needs to establish one, can predict behavior in future
System model, usually construct an objective function, selection makes this objective function reach the optimized switching state of minimum value, just
Predicted value can be made close to target value.Predictive control algorithm about three level grid-connected inverters has the direct function of model prediction earliest
Rate control and model prediction current control.These predictive control algorithms can be passed through with the mid-point voltage of balancing three-level inverter
Optimized switching state is selected to reduce switching frequency, but both conventional methods is computationally intensive, needs 27 calculating cycles
Optimized switching state is acquired, consumes a large amount of computing resource.Currently, the limited domination set model for gird-connected inverter is pre-
Observing and controlling system and hierarchical mode predicted voltage control strategy based on g-h coordinate space Vector Modulation are suggested, and both methods can
To save considerable computing resource, but current noise is introduced into reference voltage, leads to the reduced performance of inverter.
Summary of the invention
In order to overcome existing gird-connected inverter control strategy computationally intensive, introducing current noise causes inverse to reference voltage
The shortcomings that becoming device reduced performance, the present invention provide a kind of three level grid-connected inverter dual models prediction direct Power Control method,
The operand of algorithm can be reduced, save computing resource, reduce control algolithm bring delay time.
The purpose of the present invention is realized by the following technical solution: a kind of three level grid-connected inverter dual models prediction is direct
Poewr control method, comprising steps of
1, selection includes the sector of optimized switching state;
2, optimized switching state is selected in the optimal sector obtained in the first step;
3, the device for power switching of inverter is controlled using the optimized switching state of three level grid-connected inverters.
Preferably, ask the formula of the sector where optimized switching state as follows:
Specifically, being found out in three phase network at static two phase coordinate systems α β, wattful power under the influence of negligible resistance
The differential equation of rate and reactive power:
Wherein, eαβAnd iαβThe power grid phase voltage and line current under static two phase coordinate systems α β are represented, L is alternating current filter
Inductance, ω indicates that angular speed, P represent active, and Q represents idle;When inverter switching states are viWhen, inverter is static two
The voltage exported under phase coordinate system α β is ui(uαi,uβi), so above formula can also be indicated are as follows:
It is active and idle can be written as in this way, at the k+1 moment:
Wherein k indicates the current sampling period, and k+1 indicates sampling period next time, TsIndicate sampling time and Ts=t
(k+1)-t(k);
All switch states are divided into multiple sectors, takes and is located in the middle a switch state in each sector, are utilized
The active-power P at k+1 moment is calculated separately positioned at intermediate switch statei(k+1) and reactive power Qi(k+1);
The sector where optimized switching state is first asked, does not at this moment consider capacitor neutral point voltage balance, objective function first
Are as follows:
J '=[Pref-Pi(k+1)]2+[Qref-Qi(k+1)]2
Wherein PrefIt is given active power value, QrefIt is given reactive power value;Find out the minimum of objective function J '
Be worth corresponding intermediate short amount, where sector be sector where optimized switching state.
Preferably, after finding out the sector where optimized switching state, second step is carried out, by the switch state in corresponding sector
It brings into the objective function J of second model, the corresponding switch state of the minimum value of objective function J is optimized switching state;
For asking the formula of optimized switching state as follows:
Wherein, uoIt (k+1) is mid-point voltage.
Specifically, mid-point voltage equation are as follows:
U in above formulao=uc1-uc2For the voltage difference of upper and lower two capacitors, C is the size of two capacitors of DC side, uabcIt is three
Electrical level inverter export phase voltage and | uabc|={ | ua|,|ub|,|uc|, iabcIt is the line current and i of connected systemabc=
{ia,ib,ic}。
Specifically, the value of λ is 0.1.
Preferably, region division is carried out to three-level inverter space voltage vector figure, initially totally 27 switch states,
Middle null vector includes three switch states: PPP, OOO and NNN;The switch state of three all null vectors is replaced with OOO, is remained
Lower 25 switch states;2 switch states are shared between two adjacent sectors;The switch state of each sector is as follows: sector
I, switch state include OOO, POO, ONN, PNO, PNN, PON;Sector II, switch state include OOO, PPO, OON, PON, PPN,
OPN;Sector III, switch state include OOO, OPO, NON, OPN, NPN, NPO;Sector IV, switch state include OOO, OPP,
NOO,NPO,NPP,NOP;Sector V, switch state include OOO, OOP, NNO, NOP, NNP, ONP;Sector VI, switch state include
OOO、POP、ONO、ONP、PNP、PNO。
Preferably, using the optimized switching state of three level grid-connected inverters acquired, gird-connected inverter can be made to export
Active and reactive power track reference power, and DC side mid-point voltage can be balanced.
Compared with the prior art, the invention has the following advantages and beneficial effects:
The present invention predicts direct Power Control on the basis of Model Predictive Control, using dual model, compared to traditional
Three-level inverter Model Predictive Control reduces a large amount of operand, has saved the computing resource of dsp chip, has reduced and prolong
Slow time, the active balance mid-point voltage of two capacitors improve the performance of three-level inverter, reduce output electric current
Harmonic content.
Detailed description of the invention
Fig. 1 is three level grid-connected inverter circuit diagrams;
Fig. 2 is three-level inverter space voltage vector figure;
Fig. 3 is three-level inverter space vector sector figure;
Fig. 4 is three level grid-connected inverter dual models prediction direct Power Control system construction drawing;
Fig. 5 is three level grid-connected inverter dual models prediction direct Power Control system flow chart;
Fig. 6 is that the dynamic of inverter output voltage in the prediction direct Power Control system emulation of gird-connected inverter dual model is rung
It answers;
Fig. 7 is the dynamic response of power grid line current in the prediction direct Power Control system emulation of gird-connected inverter dual model;
Fig. 8 is that electric network active and idle dynamic are rung in the prediction direct Power Control system emulation of gird-connected inverter dual model
It answers;
Fig. 9 is that the dynamic of the DC capacitor voltage of gird-connected inverter dual model prediction direct Power Control system emulation is rung
It answers.
Specific embodiment
Present invention will now be described in further detail with reference to the embodiments and the accompanying drawings, but embodiments of the present invention are unlimited
In this.
In Fig. 1, give three level grid-connected inverter circuit diagrams, three-level three-phase inverter by filter inductance L with
And resistance R is connected with power grid.
In Fig. 2, the corresponding space voltage vector of 27 switch states is given, each switch state corresponds to sound
The voltage vector for the inverter output answered.
When inverter switching states are viWhen, the voltage vector of three-level inverter output is ui(uαi,uβi), three level are inverse
Become the output voltage vector u of deviceiIt can be acquired by power grid phase voltage vector e, line current vector i and inductance L and resistance R:
In formula (1), by ignoring the resistance of filter, converted by Clark, it can be static to two-phase by equation transform
Under coordinate system α β:
Wherein, eαβAnd iαβRepresent the power grid phase voltage and line current under static two phase coordinate systems α β.
By taking three-phase voltage as an example, Clark transformation for mula is as follows:
Wherein, uαiAnd uβiBetween have following relationship:
Instantaneous active power and reactive power can be obtained by following formula at two-phase stationary coordinate system α β:
Wherein, P is represented active, and Q represents idle.In conjunction with formula (2), wink on formula (4) and two-phase stationary coordinate system α β
When active power and reactive power formula (5), obtain the active power and reactive power at two-phase stationary coordinate system α β
The differential equation are as follows:
Wherein, ω indicates electrical angular speed.Above formula can also be indicated are as follows:
It is active and idle can be written as in this way, at the k+1 moment:
In formula, TsIt is the sampling period, active-power P (k) and reactive power Q (k) are the active and idle of k moment, active
Power Pi(k+1) and reactive power Qi(k+1) be the k+1 moment active and idle predicted value.
In Fig. 3, region division is carried out to the three-level inverter space voltage vector figure in Fig. 2, to carry out bimodulus
Type predicts direct Power Control, and the switch state of each sector is as shown in table 1.Wherein null vector includes three switch states
(PPP, OOO and NNN) therefore replaces the switch state of three all null vectors with OOO herein, becomes 25 switch shapes
State shares 2 switch states between two adjacent sectors.For Model Predictive Control, need to carry out 25 meters
The period is calculated to acquire optimized switching state, and dual model PREDICTIVE CONTROL only needs to carry out 12 calculating cycles, and each calculating
The calculating time in period is almost equal with Model Predictive Control, during seeking the first step and seeking sector, calculating cycle
Time is even shorter.
The switch state of 1 six sectors of table
Sector | Switch state |
I | OOO POO ONN PNO PNN PON |
II | OOO PPO OON PON PPN OPN |
III | OOO OPO NON OPN NPN NPO |
IV | OOO OPP NOO NPO NPP NOP |
V | OOO OOP NNO NOP NNP ONP |
VI | OOO POP ONO ONP PNP PNO |
First the first step of dual model prediction direct Power Control is illustrated, it is active and idle pre- when the k+1 moment
Measured value and given active-power PrefAnd reactive power QrefIt is available by formula (8) when equal:
If u (uα,uβ) it is active-power P in Direct Power PREDICTIVE CONTROLi(k+1) and reactive power Qi(k+1) in order to give
Determine the equal voltage vector for wishing to export of power, formula (9) and formula (6) simultaneous can be solved into uαAnd uβExpression formula:
In formula, UmIt is the maximum value of network voltage.In order to find out the corresponding switch state of the smallest objective function, mesh is defined
Scalar functions are as follows:
J=[Pref-Pi(k+1)]2+[Qref-Qi(k+1)]2+λ|uo(k+1)| (11)
Wherein, λ takes a lesser value, and value here is 0.1, and the side of mid-point voltage uo (k+1) is asked in formula (11)
Journey are as follows:
U in formula (12)o=uc1-uc2For the voltage difference of upper and lower two capacitors, C is the size of two capacitors of DC side, uabcIt is
Three-level inverter export phase voltage and | uabc|={ | ua|,|ub|,|uc|, iabcIt is the line current and i of connected systemabc=
{ia,ib,ic}.It is available to bring the differential equation (6) of power and formula (10) into objective function J:
Wherein, ui(uαi,uβi) it is when inverter switching states are viWhen, inverter is exported at static two phase coordinate systems α β
Voltage;And u (uα,uβ) it is that the active and idle of k+1 moment in Direct Power PREDICTIVE CONTROL wishes defeated to track specified power
Voltage vector out.This objective function is simplified, objective function J' is obtained:
By formula (10) uαAnd uβExpression formula bring above formula into, obtained equation is:
J '=[Pref-Pi(k+1)]2+[Qref-Qi(k+1)]2 (15)
By analysis above, the first step of dual model prediction direct Power Control is first carried out below, takes intermediate short
Amount calculates the active-power P at k+1 momenti(k+1) and reactive power Qi(k+1), then the objective function J ' of first model is brought into
Acquire the sector where optimized switching state.The intermediate short amount of sector is represented in the I of sector as POO or ONN, generation in the II of sector
The intermediate short amount of table sector is PPO/OON, and so on, sector III is OPO/NON, and sector IV is OPP/NOO, and sector V is
OOP/NNO, sector VI are POP/ONO.In Fig. 3For voltage vector,In the I of sector, when in the I of sector
Intermediate short amount work when, J ' is minimized because fromShort amount is exactly the centre in the I of sector between nearest brachymedial
Short amount, so the corresponding intermediate short amount of the minimum value for finding out objective function J ', where sector be optimized switching shape
Sector where state.For asking the formula of the sector where optimized switching state as follows:
After finding out the sector where optimized switching state, second step is carried out, brings the switch state in corresponding sector into the
In the objective function J of two models, the corresponding switch state of the minimum value of objective function is optimized switching state.For asking most
The formula of excellent switch state is as follows:
Using the optimized switching state for three level grid-connected inverters that dual model prediction direct Power Control acquires, can make
The active and reactive power track reference power of gird-connected inverter output, and DC side mid-point voltage can be balanced.
In Fig. 4, the structure chart of dual model prediction direct Power Control system is given, in structure chart, program is summarized
It is as follows: firstly, by 6 short vector vs in 6 sectorssi(i=1~6) substitute into the prediction model of the first step, obtain enabling target letter
Number J ' reaches the intermediate short amount of minimum value, obtains the sector where it;Then, by 6 in sector obtained in the first step
Switch state vi(i=1~6) substitute into the prediction model of second step, and obtain optimized switching state, finally optimal open what is obtained
Off status brings three-level inverter into, controls the switching device work of inverter, its active power and reactive power is made to track ginseng
Power is examined, and DC side mid-point voltage can be balanced.
In Fig. 5, direct Power Control system construction drawing is predicted according to the three level grid-connected inverter dual models of Fig. 4, is given
The DSP flow figure of three level grid-connected inverter dual models prediction direct Power Control system is gone out.Wherein, ui(uαi,uβi) it is 6
The corresponding intermediate short amount in sector, u 'i(u’αi,u’βi) it is the corresponding voltage vector of 6 switch states in optimal sector, remaining mark
It is identical with formula to infuse meaning.In order to find optimized switching state, we be respectively necessary for 6 calculating cycles calculate the first step and
The objective function of second step.The dual model prediction direct Power Control method of Fig. 5 description is compared to model prediction Direct Power control
System reduces calculation amount, and calculating cycle is reduced to 12 from 25.
Three level grid-connected inverter dual models are constructed using simulation software MATLAB/Simulink and predict direct Power Control
System carries out simulation study, and wherein system parameter is as shown in table 1.
1 system parameter of table
Parameter | Value |
Filter inductance L | 9mH |
DC bus capacitor C | 1000uF |
DC voltage | 350V |
Power grid phase voltage | 220V |
Mains frequency | 50Hz |
Sample frequency | 10kHz |
Dead time | 3us |
With reference to active power | 3kW |
With reference to reactive power | 0kVar |
By emulation, dual model prediction direct Power Control is provided to the control performance of three-level three-phase gird-connected inverter.
In emulation, at the time of 10ms, given by three level grid-connected inverters is promoted from 0 to 3kW with reference to active power.
In Fig. 6, inverter output electricity in the prediction direct Power Control system emulation of gird-connected inverter dual model is given
The dynamic response of pressure;In Fig. 7, grid line electricity in the prediction direct Power Control system emulation of gird-connected inverter dual model is given
The dynamic response of stream;In fig. 8, electric network active in the prediction direct Power Control system emulation of gird-connected inverter dual model is given
With idle dynamic response;In Fig. 9, the direct current of gird-connected inverter dual model prediction direct Power Control system emulation is given
The dynamic response of lateral capacitance voltage.It can be seen that the prediction Direct Power control of gird-connected inverter dual model from simulation result above
System processed not only reduces calculating cycle, has saved computing resource, and can track better given active power and
Reactive power reduces the harmonic content in alternating current, balances mid-point voltage.
The above embodiment is a preferred embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment
Limitation, other any changes, modifications, substitutions, combinations, simplifications made without departing from the spirit and principles of the present invention,
It should be equivalent substitute mode, be included within the scope of the present invention.
Claims (4)
1. a kind of three level grid-connected inverter dual models predict direct Power Control method, which is characterized in that comprising steps of
S1, selection include the sector of optimized switching state;
The objective function J ' for bringing first model into, acquires the sector where optimized switching state, and formula is as follows:
Specifically, found out in three phase network at static two phase coordinate systems α β under the influence of negligible resistance, active power and
The differential equation of reactive power:
Wherein, eαβAnd iαβThe power grid phase voltage and line current under static two phase coordinate systems α β are represented, L is the electricity of alternating current filter
Sense, ω indicate that angular speed, P represent active, and Q represents idle;When inverter switching states are viWhen, inverter is sat in static two-phase
The voltage exported under mark system α β is ui(uαi,uβi), so above formula can also be indicated are as follows:
It is active and idle can be written as in this way, at the k+1 moment:
Wherein, k indicates the current sampling period, and k+1 indicates sampling period next time, TsIndicate sampling time and Ts=t (k+
1)-t(k);
All switch states are divided into multiple sectors, takes and is located in the middle a switch state in each sector, using being located at
Intermediate switch state calculates separately the active-power P at k+1 momenti(k+1) and reactive power Qi(k+1);
The sector where optimized switching state is first asked, does not at this moment consider capacitor neutral point voltage balance, objective function first are as follows:
J '=[Pref-Pi(k+1)]2+[Qref-Qi(k+1)]2
Wherein PrefIt is given active power value, QrefIt is given reactive power value;Find out the minimum value pair of objective function J '
The intermediate short amount answered, where sector be sector where optimized switching state;
Optimized switching state is selected in S2, the optimal sector obtained in the first step;
Switch state in corresponding sector is brought into the objective function J of second model, the minimum value of objective function J is corresponding
Switch state is optimized switching state;For asking the formula of optimized switching state as follows:
Wherein, uoIt (k+1) is mid-point voltage;
Specifically, mid-point voltage equation are as follows:
U in above formulao=uc1-uc2For the voltage difference of upper and lower two capacitors, C is the size of two capacitors of DC side, uabcIt is three level
Inverter export phase voltage and | uabc|={ | ua|,|ub|,|uc|, iabcIt is the line current and i of connected systemabc={ ia,ib,
ic};
S3, the device for power switching of inverter is controlled using the optimized switching state of three level grid-connected inverters.
2. three level grid-connected inverters dual model according to claim 1 predicts that direct Power Control method, feature exist
In the value of λ is 0.1.
3. three level grid-connected inverters dual model according to claim 1 predicts that direct Power Control method, feature exist
In carrying out region division to three-level inverter space voltage vector figure, initially totally 27 switch states, wherein null vector includes
Three switch states: PPP, OOO and NNN;The switch state of three all null vectors is replaced with OOO, is left 25 switch shapes
State;2 switch states are shared between two adjacent sectors;The switch state of each sector is as follows: sector I, switch state packet
Include OOO, POO, ONN, PNO, PNN, PON;Sector II, switch state include OOO, PPO, OON, PON, PPN, OPN;Sector III,
Switch state includes OOO, OPO, NON, OPN, NPN, NPO;Sector IV, switch state include OOO, OPP, NOO, NPO, NPP,
NOP;Sector V, switch state include OOO, OOP, NNO, NOP, NNP, ONP;Sector VI, switch state include OOO, POP, ONO,
ONP、PNP、PNO。
4. three level grid-connected inverters dual model according to claim 1 predicts that direct Power Control method, feature exist
In gird-connected inverter being made to export active and idle using the optimized switching state of three level grid-connected inverters acquired
Power tracking reference power, and DC side mid-point voltage can be balanced.
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Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102545665A (en) * | 2012-02-09 | 2012-07-04 | 天津大学 | Three-level PWM (Pulse-Width Modulation) rectifier direct power control method |
CN105048846A (en) * | 2015-07-01 | 2015-11-11 | 西安理工大学 | Voltage-type three-level NPC (Neutral Point Clamped) converter direct power control method |
CN105391271A (en) * | 2015-11-01 | 2016-03-09 | 华南理工大学 | Low-frequency quick finite set model prediction control method applied to power electronic system |
CN105450057A (en) * | 2014-09-17 | 2016-03-30 | 华中科技大学 | Direct power prediction control method based on three-phase six-switch rectifier load current observation |
EP3236576A1 (en) * | 2016-04-22 | 2017-10-25 | Delta Electronics (Shanghai) Co., Ltd. | Voltage balance control device and voltage balance control method for flying-capacitor multilevel converter |
-
2017
- 2017-06-02 CN CN201710406440.0A patent/CN107134939B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102545665A (en) * | 2012-02-09 | 2012-07-04 | 天津大学 | Three-level PWM (Pulse-Width Modulation) rectifier direct power control method |
CN105450057A (en) * | 2014-09-17 | 2016-03-30 | 华中科技大学 | Direct power prediction control method based on three-phase six-switch rectifier load current observation |
CN105048846A (en) * | 2015-07-01 | 2015-11-11 | 西安理工大学 | Voltage-type three-level NPC (Neutral Point Clamped) converter direct power control method |
CN105391271A (en) * | 2015-11-01 | 2016-03-09 | 华南理工大学 | Low-frequency quick finite set model prediction control method applied to power electronic system |
EP3236576A1 (en) * | 2016-04-22 | 2017-10-25 | Delta Electronics (Shanghai) Co., Ltd. | Voltage balance control device and voltage balance control method for flying-capacitor multilevel converter |
Non-Patent Citations (2)
Title |
---|
"单相三电平脉冲整流器模型预测直接功率控制";马俊鹏 等;《中国电机工程学报》;20160220;第36卷(第4期);第1099页至1102页 |
"双馈并网风力发电机预测直接功率控制的研究";俞晓丽;《中国优秀硕士学位论文全文数据库 工程科技II辑》;20150115(第2015年第1期);正文第12页至第22页 |
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